Triple
T2638218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ica Region |
E62797
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Pisco
Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
|
E284238
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pisco | Statement: [Ica Region, hasCity, Pisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisco Context triple: [Ica Region, hasCity, Pisco]
-
A.
Angostura
Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
-
B.
pisco sour
Pisco sour is a classic South American cocktail made with pisco, citrus juice, sweetener, and egg white, renowned as a cultural icon of Peru.
-
C.
Tequila
Tequila is a Mexican distilled spirit made primarily from the blue agave plant, traditionally produced in and around the town of Tequila in the state of Jalisco.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Curaçao liqueur
Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pisco Triple: [Ica Region, hasCity, Pisco]
Generated description
Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pisco Target entity description: Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
-
A.
Angostura
Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
-
B.
pisco sour
Pisco sour is a classic South American cocktail made with pisco, citrus juice, sweetener, and egg white, renowned as a cultural icon of Peru.
-
C.
Tequila
Tequila is a Mexican distilled spirit made primarily from the blue agave plant, traditionally produced in and around the town of Tequila in the state of Jalisco.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Curaçao liqueur
Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b628748190bdbb23f1d85bc3fd |
completed | March 10, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69af91c6de008190ad8fb3a3c06472cb |
completed | March 10, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9253953c8190a8e18c92d66263cc |
completed | March 10, 2026, 3:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.